Statistics in Biopharmaceutical Research
Statistics in Biopharmaceutical Research
Journal Title: Statistics in Biopharmaceutical Research
ISSN: 1946-6315
ISSN Online: 1946-6315
Publication Frequency: 4 issues per year
Impact Factor:
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Aim & Scope: 2013 Impact Factor: 0.704 Ranking:46/52 in Mathematical & Computational Biology; 77/119 inStatistics & Probability 2013 5-Year Impact Factor: 0.751 ©2014 Thomson Reuters, 2013 Journal Citation Reports®

Statistics in Biopharmaceutical Research ( SBR), publishes articles that focus on the needs of researchers and applied statisticians in biopharmaceutical industries; academic biostatisticians from schools of medicine, veterinary medicine, public health, and pharmacy; statisticians and quantitative analysts working in regulatory agencies (e.g., U.S. Food and Drug Administration and its counterpart in other countries); statisticians with an interest in adopting methodology presented in this journal to their own fields; and nonstatisticians with an interest in applying statistical methods to biopharmaceutical problems.

Statistics in Biopharmaceutical Research accepts papers that discuss appropriate statistical methodology and information regarding the use of statistics in all phases of research, development, and practice in the pharmaceutical, biopharmaceutical, device, and diagnostics industries. Articles should focus on the development of novel statistical methods, novel applications of current methods, or the innovative application of statistical principles that can be used by statistical practitioners in these disciplines. Areas of application may include statistical methods for drug discovery, including papers that address issues of multiplicity, sequential trials, adaptive designs, etc.; preclinical and clinical studies; genomics and proteomics; bioassay; biomarkers and surrogate markers; models and analyses of drug history, including pharmacoeconomics, product life cycle, detection of adverse events in clinical studies, and postmarketing risk assessment; regulatory guidelines, including issues of standardization of terminology (e.g., CDISC), tolerance and specification limits related to pharmaceutical practice, and novel methods of drug approval; and detection of adverse events in clinical and toxicological studies. Tutorial articles also are welcome. Articles should include demonstrable evidence of the usefulness of this methodology (presumably by means of an application).

The Editorial Board of SBR intends to ensure that the journal continually provides important, useful, and timely information. To accomplish this, the board strives to attract outstanding articles by seeing that each submission receives a careful, thorough, and prompt review.


Subjects Covered & Scope: Applied Mathematics; Biopharmaceutics; Bioscience; Clinical Trials - Pharmaceutical Science; Drug Design & Development; Mathematical Biology; Mathematics & Statistics; Pharmaceutical Science; Statistical Theory & Methods; Statistics; Statistics & Probability; Taylor & Francis Collection
Editor Board:
Editor

Editorial Coordinator

Associate Editors

Stan Altan - Johnson & Johnson

Gregory Campbell - U.S. Food and Drug Administration

Ivan Chan - Merck

Cong Chen - Merck
 
Avital Cnaan - Children's National Medical Center

Paul Gallo - Novartis

Mithat Goenen - Memorial Sloan-Kettering Cancer Center

Weili He - Merck

Daniel Heitjan - University of Pennsylvania

Antje Hoering - Cancer Research and Biostatistics

Boris Iglewicz - Temple University

Qi Jiang - Amgen Inc

David Ohlssen - Novartis

Brian Smith - Amgen Inc

Roy Tamura - University of South Florida

Yevgen Tymofyeyev - Johnson & Johnson

Brian Wiens - Alcon Laboratories

Yan (Daniel) Zhao - University of Oklahoma Health Sciences Center

Journals Manager
   Eric Sampson 

Abtracting & Indexing:

Statistics in Biopharmaceutical Research (SBR ) is indexed in:

Biological Abstracts BIOSIS Previews Biotechnology Citation Index Current Index to Statistics EBSCO Discovery Google Scholar Journal Citation Reports/Science Edition Science Citation Index Expanded (also known as SciSearch) SCOPUS STMA-Z
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